Samsung Galaxy S23 Ultra
Geekbench AI Score
958
Single Precision Score
1169
Half Precision Score
1067
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | stan115 |
| Upload Date | November 04 2024 09:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S9180 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (HP)
|
100% |
929
172.8 IPS |
|
|
Image Classification (Q)
|
96% |
424
79.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1029
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1434
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1427
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (HP)
|
100% |
504
39.9 IPS |
|
|
Object Detection (Q)
|
87% |
685
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2331
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
1667
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1517
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2849
22.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2367
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3856
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8693
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8608
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
361
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
357
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.1 IPS |
|
|
Text Classification (HP)
|
100% |
458
611.8 IPS |
|
|
Text Classification (Q)
|
91% |
706
949.0 IPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
526
12.8 IPS |
